Sim-to-Real papers, 2023–2026

Key findings

• Sim-to-Real went from 159 papers in 2023 to 204 in 2026, roughly 1.3x in three years.
• CVPR publishes the most Sim-to-Real work: 223 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 2 in 2023 to 27 in 2026.
• Among the 5 topics under Robotics and Embodied AI, it ranks #3 by 2026 paper count; the fastest grower in the group, Humanoid Control, is up 3.8x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
• ICML 2026RTInfer: Real-Time Inference of Multiple DNNs on Edge GPUs
• ICLR 2026Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots
• CVPR 2026AnthroTAP Learning Point Tracking with Real-World Motion
• NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
• ICML 2025HyperIV: Real-time Implied Volatility Smoothing
• ICLR 2025Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
• CVPR 2025Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
• NeurIPS 2024EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity
• ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
• ICLR 2024Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
• CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
• NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
• ICML 2023Adversarially Robust PAC Learnability of Real-Valued Functions
• ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
• CVPR 2023Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World
• NeurIPS 2026Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
• ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
• ICLR 2026PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
• CVPR 2026BiProLoRA Bilevel Prompt LoRA for Real Scene Recovery

All Sim-to-Real papers

199 papers, page 2 of 4

51. NeurIPS 2026Real In, Real Out: What If We Only Use Real Data for Scene Text Editing?
52. NeurIPS 2026Real-World Dual-Pixel Raindrop Removal: A New Benchmark and Degradation-Adaptive RWKV Baseline
53. NeurIPS 2026RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting
54. NeurIPS 2026Robust Domain Generalization under Divergent Marginal and Conditional Distributions
55. NeurIPS 2026SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS to Solve Professional Workflows?
56. NeurIPS 2026Same Function, Different Mechanism: Implementation-Local Geometry Beyond Accuracy
57. NeurIPS 2026Shared Truth: Emergent Truth Properties in Large Language Models via Heterogeneous Injection-based Transfer
58. NeurIPS 2026SkillOrchestra: Learning to Route Agents via Skill Transfer
59. NeurIPS 2026SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
60. NeurIPS 2026Spectrally Parameterized Neural Inverse Reconstruction
61. NeurIPS 2026Stable Max Coverage Under a Cardinality Constraint
62. NeurIPS 2026Structure, Subspace and System: Push the Real Limit of Extremely Low-Bit Quantization for MoE-LLMs
63. NeurIPS 2026TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
64. NeurIPS 2026TF-PRVR: Training-Free Partially Relevant Video Retrieval for Real-World Generalization
65. NeurIPS 2026The AI Observatory: A Public Measure of Real-World AI Use
66. NeurIPS 2026The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning
67. NeurIPS 2026The Stability of Data Exchange in Competitive Markets
68. NeurIPS 2026Thinking in Boxes: 3D Editing in Real Images Made Easy
69. NeurIPS 2026Too Aligned to be Real: Detecting AI-Generated Images via Cross-modal Alignment Shift
70. NeurIPS 2026Towards Real-Time Full-Waveform LiDAR Transformers via Intensity-Guided Token Reduction and Physics-Aware Augmentation
71. NeurIPS 2026Tracing Psychometric Inference in Large Language Models
72. NeurIPS 2026Train on the Sphere, Deploy on the Hill: Closed-Form-Anchored Surrogates for Real-Terrain Boundary-Integral Equations
73. NeurIPS 2026Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions
74. NeurIPS 2026Voice "Cloning" Is Actually Style Transfer
75. NeurIPS 2026WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos
76. NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
77. NeurIPS 2025Asymmetric Duos: Sidekicks Improve Uncertainty
78. NeurIPS 2025Balanced Active Inference
79. NeurIPS 2025Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
80. NeurIPS 2025DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer
81. NeurIPS 2025DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios
82. NeurIPS 2025Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation
83. NeurIPS 2025Decomposing motor units through elimination for real-time intention driven assistive neurotechnology
84. NeurIPS 2025DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
85. NeurIPS 2025DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
86. NeurIPS 2025Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
87. NeurIPS 2025Generalizable, real-time neural decoding with hybrid state-space models
88. NeurIPS 2025Inductive Domain Transfer In Misspecified Simulation-Based Inference
89. NeurIPS 2025IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
90. NeurIPS 2025Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
91. NeurIPS 2025Learning Generalizable Shape Completion with SIM(3) Equivariance
92. NeurIPS 2025MIRA: Medical Time Series Foundation Model for Real-World Health Data
93. NeurIPS 2025Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
94. NeurIPS 2025MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem
95. NeurIPS 2025Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges
96. NeurIPS 2025Real-DRL: Teach and Learn in Reality
97. NeurIPS 2025Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
98. NeurIPS 2025Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
99. NeurIPS 2025Real-World Reinforcement Learning of Active Perception Behaviors
100. NeurIPS 2025Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse

FAQ

How many Sim-to-Real papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

629 in total: 159 in 2023, 148 in 2024, 118 in 2025, 204 in 2026.

How many Sim-to-Real papers are at NeurIPS 2026?

NeurIPS 2026 has 75 Sim-to-Real papers, versus 33 the year before.

How many Sim-to-Real papers are at ICLR 2026?

ICLR 2026 has 33 Sim-to-Real papers, versus 16 the year before.

How many Sim-to-Real papers are at ICML 2026?

ICML 2026 has 33 Sim-to-Real papers, versus 18 the year before.

How many Sim-to-Real papers are at CVPR 2026?

CVPR 2026 has 63 Sim-to-Real papers, versus 51 the year before.

Which conference publishes the most Sim-to-Real papers?

CVPR, with 223 papers from 2023 to 2026.